A Quantitative Model of International Trade Based on Deep Neural Network

This paper is an in-depth study of international trade quantification models based on deep neural networks. Based on an in-depth analysis of global trade characteristics, a summary of existing problems, and a comparative analysis of various prediction methods, this paper constructs the ARIMA model,...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Xiaoxin, Chen, Xiuxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173948/
https://www.ncbi.nlm.nih.gov/pubmed/35685150
http://dx.doi.org/10.1155/2022/9811358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173948/
https://www.ncbi.nlm.nih.gov/pubmed/35685150
http://dx.doi.org/10.1155/2022/9811358

Ejemplares similares